Skip to main content

Mobileye and Lucid partner on autonomous vehicles

US-based electric vehicle developer Lucid Motors is to collaborate with Israeli company Mobileye to enable autonomous driving capability on Lucid vehicles. Lucid plans to launch its first car, the Lucid Air, with a complete sensor set for autonomous driving, including camera, radar and LiDAR sensors. Mobileye will provide the primary computing platform, full eight-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localisation capability and reinforceme
January 4, 2017 Read time: 2 mins
US-based electric vehicle developer Lucid Motors is to collaborate with Israeli company 4279 Mobileye to enable autonomous driving capability on Lucid vehicles.

Lucid plans to launch its first car, the Lucid Air, with a complete sensor set for autonomous driving, including camera, radar and LiDAR sensors.  Mobileye will provide the primary computing platform, full eight-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localisation capability and reinforcement learning algorithms for driving policy.  These technologies will offer a full advanced driver assistance system (ADAS) suite at launch and then enable a logical and safe transition to autonomous driving functionality through over-the-air software updates.

In common with other Mobileye programs, the camera set includes a forward-facing trifocal-lens camera and an additional five cameras surrounding the vehicle. In addition, Mobileye will offer sensor fusion software that incorporates data from radar and LiDAR sensors, along with the camera set, in order to build the critical environmental model necessary to facilitate autonomous driving.

Mobileye's REM system is intended to provide the vehicle with highly accurate localisation capability.  Lucid vehicles will benefit from the near real-time updating of the collaborative, dynamic global Roadbook high-definition mapping system.  Data generated from Lucid vehicles can be used to enhance the autonomous driving software and will also contribute to the aggregation of Mobileye's Global Roadbook.

Related Content

  • May 2, 2018
    V2X: The design challenges
    The connected future throws up a number of enticing possibilities for us all. But, says Houman Zarrinkoub of MathWorks, issues around visualisation, prototyping and model evolution need to be examined carefully. We are all aware of the huge amount of investment going into driverless car technologies. With the likes of Volvo, Tesla and BMW getting in on the act, soon they will be a common sight on our roads. However, for this to occur, the vehicles must be able to connect with each other and ensure driver
  • January 18, 2021
    Cepton thinks small with Nova Lidar
    Miniature Lidar sensor is priced below $100 and designed for AV and ADAS applications
  • July 4, 2016
    BMW Group, Intel and Mobileye Team Up on fully autonomous driving
    BMW Group, Intel and Mobileye are collaborating to bring solutions for highly and fully automated driving into series production by 2021. The BMW iNEXT model will be the foundation for BMW Group’s autonomous driving strategy and set the basis for fleets of fully autonomous vehicles, not only on highways but also in urban environments for the purpose of automated ridesharing solutions. The three partners are committed to working towards an industry standard and defining an open platform for autonomous
  • November 16, 2017
    Esri and Mobileye offer real-time blind-spot detection data
    Geographic information system specialist Esri is to collaborate with advanced driver-assistance systems software provider Mobileye in a venture aimed at improving safety for road users in urban environments. This will see Esri’s mapping, analysis and visualisation integrated with Mobileye’s Shield+ product. Shield+ will stream road safety data retrieved from city fleets into Esri’s ArcGIS platform meaning incidents of pedestrians and cyclists being detected in blindspots can be viewed on the Mobileye